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Using global land surface emissivity as soil moisture indicator

机译:使用全球陆地表面发射率作为土壤湿度指标

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Soil moisture is one of the most uncertain variables in hydrologic models, especially in large watersheds. Direct measurement of this parameter at these large scales is not straightforward. The main objective of this work is to demonstrate the potential of using land microwave emissivity as a surrogate for soil moisture. First, an instantaneous global microwave land emissivity product has been developed using AMSR-E observations. This retrieval utilizes all AMSR-E frequencies and infrared-based data for physical skin temperature. Data sets provided by the International Satellite Cloud Climatology Project (1SCCP) were used. Moreover, information on water vapour and air temperature obtained from the ISCCP database (TOVS data) was used to calculate the upwelling and downwelling atmospheric brightness temperatures, as well as the atmospheric transmission. A monthly composited map was developed for each frequency. The analysis of the obtained maps has shown an acceptable agreement with the global pattern of land use/land cover. The difference between V and H polarization, as well as the difference between day and night in emissivity retrievals, showed an acceptable consistency with soil moisture. Fraction of surface water was developed in global scale using land surface emissivity with reasonable agreement with soil moisture except in highly vegetated area.
机译:土壤水分是水文模型中最不确定的变量之一,尤其是在大流域中。在如此大规模下直接测量此参数并非易事。这项工作的主要目的是证明利用陆地微波发射率替代土壤水分的潜力。首先,利用AMSR-E观测资料开发了一种瞬时的全球微波陆地发射率产品。该检索将所有AMSR-E频率和基于红外的数据用于皮肤的物理温度。使用了国际卫星云气候学项目(1SCCP)提供的数据集。此外,从ISCCP数据库获得的有关水蒸气和空气温度的信息(TOVS数据)用于计算上升和下降时大气亮度温度以及大气透过率。为每个频率开发了每月的合成图。对获得的地图的分析表明,它与土地利用/土地覆盖的全球格局是可以接受的。 V和H极化之间的差异以及发射率反演中昼夜之间的差异显示与土壤水分的可接受一致性。除高植被地区外,利用陆地表面发射率与土壤水分合理吻合,在全球范围内开发了地表水分数。

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